Displaying results 457 - 464 of 612
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Modeling surveillance networks for Human African Trypanosomiasis control in Northern Uganda
Content Type: Case Study
The multiple forms of Human African Trypanosomiasis (human T.b. gambiense and zoonotic T.b. rhodesiense, as well as the several strains which cause disease in animals) that occur in Uganda make coordinating the scientific and developmental, human… read more… _X__ Cross-Agency Communication and Collaboration _X__ Training and Resources _X__ Technologies and Methodologies … levels in remote areas at most risk. • More frequent training of health staff at front-line facilities is needed … -
Resolving the 'Boy Who Cried Wolf' Syndrome
Content Type: Abstract
To date, most syndromic surveillance systems rely heavily on complicated statistical algorithms to identify aberrations. The assumption is that when the statistics identify something unusual, follow-up should occur. However, with multiple strata… read more… phrases, and combinations of variables were used to train the natural language processor (NLP) on which records … and alerting thresholds needed to cause a flag and (2) training the NLP to return a list of key chief complaints … -
Digital Epidemiology: designing machine learning approaches to combine Internet-based data sources to monitor and forecast disease activity in multiple locations and spatial resolutions
Content Type: Webinar
Presented May 24, 2018. Mauricio Santillana, MS, PhD describes machine learning methodologies that leverage Internet-based information from search engines, twitter microblogs, crowd-sourced disease surveillance systems, electronic… read more… (Massachusetts and Boston) Highlights: (a) dynamic-moving training window, (b) automatic feature selection, (c) … Jon Bickel, and Ben Reis Split data for modeling Training/Fitting Testing In collaboration with: Sam Tideman, … -
Making the Best Use of Textual ED Data for Syndromic Surveillance
Content Type: Webinar
In this webinar Dr. Travers will review two tools developed at the University of North Carolina at Chapel Hill, which aid in processing textual CC’s and triage notes in support of syndromic surveillance. Textual data from emergency departments… read more… Haas, Waller, Schwartz, Mostafa Machine Learning • Train system to identify patterns • Requires gold standard training set • Syndromic surveillance- gold standard • … -
Using Electronic Surveillance Systems in Resource-Poor Settings: Why and How
Content Type: Abstract
Difficulties in timely acquisition and interpretation of accurate data on communicable diseases can impede outbreak detection and control. These limitations are of global importance: they contribute to avoidable morbidity,… read more… and analysis; the skill sets of current personnel and the training needed for the new system; and the commitment of … -
Cysticercosis associated epilepsy prevention and control
Content Type: Case Study
Cysticercosis is a frequent health problem in developing countries. The disease is due to infection by Taenia solium larvae and is predominant in areas where pigs and humans cohabite. Inappropriate breeding conditions and poor hygiene especially… read more… ___ Cross-Agency Communication and Collaboration __x_ Training and Resources ___x Technologies and Methodologies … -
Implementation of a Syndromic Surveillance System Using a General Practitioner's House Calls Network
Content Type: Abstract
Recent health events in France, such as the dramatic excess of mortality occurred during the 2003 heat wave showed the need for a better provision of information to health authorities. A new syndromic surveillance system based on the… read more… (Cire),Bordeaux, France (2) French Field Epidemiology Training Programme (PROFET), InVS, ENSP, France (3) SOS … -
Comparison of 2005-2007 Influenza-Like Illness Observed from Emergency Department Visits in Miami-Dade County
Content Type: Abstract
The purpose of this study was to compare the 2005- 2006 and 2006-2007 Influenza seasons using Influenza-like illness (ILI) data received from Emergency Departments in Miami-Dade County.… MDCHD has implemented a syndromic surveillance system (ESSENCE) to monitor ILI trends from data received from …
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